Akademik Veri Yönetim Sistemi
21st European Conference on Multi-Agent Systems, EUMAS 2024, Dublin, İrlanda, 26 - 28 Ağustos 2024, cilt.15685 LNAI, ss.198-214, (Tam Metin Bildiri)
Procrastination, i.e., irrational delay, seriously and increasingly affects people’s daily and professional lives in today’s society where social media and easy access to entertainment options are plentiful. Psychology literature offers various types of interventions developed to reduce an individual’s level of procrastination; however, only a limited number of people experiencing procrastination have access to such interventions. Leveraging agent technology as even a partial remedy to this widespread problem can be highly beneficial due to its ubiquitous nature. In this study, we develop a model of procrastination on task completion and levels of agent-based interventions to assist individuals in overcoming procrastination. The effects of agent interventions on procrastination are evaluated through an extensive set of controlled experiments with participants recruited from Amazon Mechanical Turk. The agent engages the user using instances of given task types to develop a shared awareness of user preferences and capabilities. This preference model is then used both to choose effective interventions as well as measure and reward subsequent user performance. This model can also be leveraged to explain agent interventions to the user. We collect and use both task completion metric data and survey data to assess individuals’ perceptions of procrastination, task completion satisfaction, and the usefulness of agent support. Our data analysis indicates that using agent-based interventions can effectively help people reduce procrastination.